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Multiagent Architecture for Bridge Capacity Measurement System Using Wireless Sensor Network and Weight in Motion
Putra S.A.a, Trilaksono B.R.b, Riyansyah M.b, Laila D.S.c,d
a Enterprise Intelligent System Lab, Cybernetics Research Group, School of Industrial and System Engineering, Telkom University, Bandung, 40257, Indonesia
b Institut Teknologi Bandung (ITB), Bandung, 40132, Indonesia
c School of Mechanical, Aerospace and Automotive Engineering, Coventry University, Coventry, CV1 5FB, United Kingdom
d Electrical and Electronics Engineering Department, Faculty of Engineering, Universiti Teknologi Brunei, Bandar Seri Begawan, BE1410, Brunei Darussalam
[vc_row][vc_column][vc_row_inner][vc_column_inner][vc_separator css=”.vc_custom_1624529070653{padding-top: 30px !important;padding-bottom: 30px !important;}”][/vc_column_inner][/vc_row_inner][vc_row_inner layout=”boxed”][vc_column_inner width=”3/4″ css=”.vc_custom_1624695412187{border-right-width: 1px !important;border-right-color: #dddddd !important;border-right-style: solid !important;border-radius: 1px !important;}”][vc_empty_space][megatron_heading title=”Abstract” size=”size-sm” text_align=”text-left”][vc_column_text]© 1963-2012 IEEE.Wireless sensor network (WSN) has played important roles in various aspects of life including in bridge structural health monitoring system. Due to environmental and operational circumstances, a bridge needs to be monitored to make sure its continuous availability and operational safety. The structural stiffness of a bridge will decrease after some period of time due to structural strength declining and cracking. The change in bending stiffness will change the structural dynamic characteristics of the bridge and its capacity. Therefore, an automatic assessment system for bridge capacity is required. This article proposes the development of data acquisition and processing method for bridge capacity determination using its dynamic response, based on agent-based in-network processing. The use of WSN in bridge capacity monitoring and diagnostic also allows for sending warning messages to the control room. Experiment in the laboratory-scale bridge is performed to test the proposed system performance and the result was well validated with the finite-element analysis (FEA) results with modal assurance criterion value 0.90 that shows the high correlation degree between the FEA and the experiment. In addition, the processing time and energy consumption are compared with previous similar work, which shows the efficiency of the proposed system.[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Author keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Automatic assessment,Bridge structural health monitoring,Dynamic characteristics,In-network processing,Modal assurance criterion,Multiagent architecture,Structural stiffness,Structural strength[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Indexed keywords” size=”size-sm” text_align=”text-left”][vc_column_text]Bridge capacity measurement,in-network processing,mobile agent,multiagent system,wireless sensor network (WSN)[/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”Funding details” size=”size-sm” text_align=”text-left”][vc_column_text][{‘$’: ‘Manuscript received May 17, 2020; revised September 14, 2020; accepted September 27, 2020. Date of publication October 14, 2020; date of current version December 22, 2020. This work was supported in part by the Royal Academy of Engineering–Newton Funds under Award IAPP1_100018 and in part by the Ministry of Research Technology and Ministry of Education and Culture of Indonesia through the World Class University (WCU) 2020 Program managed by the Institut Teknologi Bandung. The Associate Editor coordinating the review process was Chao Tan. (Corresponding author: Seno Adi Putra.) Seno Adi Putra is with the Enterprise Intelligent System Lab, Cybernetics Research Group, School of Industrial and System Engineering, Telkom University, Bandung 40257, Indonesia (e-mail: adiputra@telkomuniversity.ac.id).’}, {‘$’: ‘This work was supported in part by the Royal Academy of Engineering-Newton Funds under Award IAPP1-100018 and in part by the Ministry of Research Technology and Ministry of Education and Culture of Indonesia through the World Class University (WCU) 2020 Program managed by the Institut Teknologi Bandung.’}][/vc_column_text][vc_empty_space][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][vc_empty_space][megatron_heading title=”DOI” size=”size-sm” text_align=”text-left”][vc_column_text]https://doi.org/10.1109/TIM.2020.3031126[/vc_column_text][/vc_column_inner][vc_column_inner width=”1/4″][vc_column_text]Widget Plumx[/vc_column_text][/vc_column_inner][/vc_row_inner][/vc_column][/vc_row][vc_row][vc_column][vc_separator css=”.vc_custom_1624528584150{padding-top: 25px !important;padding-bottom: 25px !important;}”][/vc_column][/vc_row]